Description
Q2 is hiring a Machine Learning Engineer to build and operate production systems for fraud detection at scale. The role covers fraud research, model development and evaluation, real-time low-latency infrastructure, training and inference pipelines, production monitoring, troubleshooting, and collaboration with data scientists and customers. Candidates need a bachelor’s degree in a related field, at least two years of relevant experience, ML deployment experience, programming proficiency, familiarity with machine learning frameworks and cloud platforms, and strong analytical and collaboration skills. The position requires fluent English communication, U.S. work authorization, and does not offer visa sponsorship.
